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arXiv 2610.13620astro-ph.SRphysics.space-ph
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基于MHD模型的日地磁连通性研究 II:输入磁图的影响

Magnetic connectivity from the Sun to the Earth with MHD models II. Impact of input magnetic maps

CEA Paris-Saclay, Université Paris-Saclay, Université Paris-Cité(巴黎萨克雷大学);Centre for Mathematical Plasma-Astrophysics, KU Leuven(鲁汶大学);Observatoire de Paris, LIRA, UMR8254 (CNRS)(巴黎天文台);LUNEX EMMESI COSPAR-PEX Eurospacehub(卢森堡空间中心);Institute of Physics, University of Maria Curie-Skłodowska(玛丽·居里-斯克沃多夫斯卡大学)

Barbara Perri, Silke Kennis, Brigitte Schmieder, Stefaan Poedts

AI总结:

本研究探讨输入磁图对MHD模型日地磁连通性估算的影响,发现HMI、GONG磁图表现最佳,GONG-ADAPT最差,HCS位置是关键参数,连续卡林顿旋转周数据更优。

摘要:

磁连通性估算需快速完成,因此通常依赖半经验模型。此前研究证实,优化后的磁流体动力学(MHD)模型也可用于推导磁连通性,尤其在复杂结构下能取得良好结果。然而,建模并非唯一影响连通性估算的因素,半经验模型与MHD模型的结果均高度依赖驱动模拟的输入数据。为量化输入磁图对连通性估算的影响,本研究采用了4家机构提供的20种不同磁图,选取2019年7月(对应卡林顿旋转周CR2219)作为研究时段,该时段已在前期论文中被研究,处于太阳活动极小期,瞬变结构干扰最小,但存在高速流和多次极性转换。研究将结果与ACE卫星的原位数据对比,开发了多种可视化技术,不仅针对特定日期,还针对整个卡林顿旋转周验证连通性。结果显示,输入磁图的选择对连通性估算影响极大,全球一致性得分在极端情况下从28%到63%不等;HMI和GONG磁图始终提供最佳连通性估算,整个卡林顿旋转周的正确结果占比超50%;此特定时段内,GONG-ADAPT磁图的结果最不可靠,得分低于35%,这与此前研究中COCONUT模型需对该类磁图调整参数的结论一致;而此前日冕一致性较差的WSO磁图却提供了良好的连通性估算,表明日球电流片(HCS)的位置最终是连通性的最关键参数;研究还指出,与每日磁图相比,整个卡林顿旋转周的连续数据更受青睐。

英文摘要:

Connectivity estimation needs to be fast and thus usually relies on semi-empirical models. We previously established that optimised magnetohydrodynamics (MHD) models can also be used to derive magnetic connectivity, yielding good results, especially for complex configurations. However, the modelling is not the only factor that can impact the connectivity estimation. Models' results, both semi-empirical and MHD, depend heavily on the input data used to drive the simulation. In order to quantify this impact on our connectivity estimation, we used 20 different maps by four providers. We selected the period of July 2019, which corresponds to Carrington rotation (CR) number 2219, because it had already been studied in a previous paper. It corresponds to a period of minimum activity, meaning minimal interference from transient structures, but with a high-speed stream and several polarity switches. We have compared our results with in situ data from ACE and developed several visualisation techniques to validate connectivity not only for a specific date but also for a full CR. The choice of the input magnetic map drastically affects the connectivity estimates, with global scores going from 28% global agreement to 63% in the most extreme case. The HMI and GONG maps consistently gave the best connectivity estimations, with more than 50% correct results of the full CR. For this specific period, the GONG-ADAPT maps yielded the least reliable results, with a score below 35%. This is not surprising, as we have shown before that COCONUT required parameter adjustments for these maps. However, WSO maps which showed poor coronal agreement actually provided good connectivity estimates, showing that the Heliospheric Current Sheet (HCS) location is in the end the most crucial parameter for connectivity. Consistent data over a full Carrington rotation are to be favored compared to daily.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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